查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

113-2 345159 數據驅動跨域設計專題研究 1 4.0 4 ★ 陳靜儀創新所 10 0 上限9人

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
113-2	345159	數據驅動跨域設計專題研究	1	4.0	4	★	陳靜儀	創新所	10	0	上限9人

教學大綱與進度：

教師姓名陳靜儀　教師諮商時間(Office Hours)

Email cic@ntut.edu.tw

最後更新時間 2024-12-17 10:14:33

課程大綱 "Data-Driven Interdisciplinary Design Research Project" is an advanced design course that combines academic research and practical experience. This course takes data-driven design as its core, emphasizing the combination of data analysis and design practice, aiming to improve students' cross-field thinking abilities and practical problem-solving abilities. Through close collaboration with graduate students, students will have the opportunity to explore how to apply data-driven strategies to design practice from different perspectives, thereby achieving innovative and practical design solutions. The course will cover multiple modules such as data analysis, user needs research, design verification and experimentation, and emphasize application in the real world. Ultimately, students will complete a design research project with academic value and practical application potential, laying a solid foundation for future professional development or further academic research. 「數據驅動跨域設計專題研究」是一門結合學術研究與實務經驗的高階設計課程。本課程以數據驅動設計為核心，強調將數據分析與設計實踐相結合，旨在提升學生的跨領域思考能力與解決問題的實踐能力。透過研究生的密切合作，學生將有機會從不同視角出發，探索如何將數據驅動策略應用於設計實務中，進而達成具創新性與實用性的設計解決方案。課程將涵蓋數據分析、使用者需求研究、設計驗證與實驗等多個模組，並強調在真實世界中的應用。最終，學生將完成一個具備學術價值與實際應用潛力的設計專題研究，為未來的專業發展或進一步學術研究打下堅實基礎。

課程進度
(1-16週) Week 01: Course Introduction Week 02: Turning data into insights: Data analysis and dimensions of data analysis in daily life Week 03: Data Ecosystems: How Data Can Inform Better Decisions Week 04: Data Analysis Skills Week 05: Analytical thinking and using data to drive successful outcomes Week 06: The life cycle of data Week 07: Six stages of data analysis Week 08: Data Analysis Process Week 09: Midterm exam Week 10: Data analysis tools Week 11: Master spreadsheet basics Week 12: Structured Query Language Week 13: Data Visualization Week 14: Design Studio I Week 15: Design Studio II Week 16: Design Studio III Week 17: Design Studio IV Week 18: Final presentation

評量方式與標準 Class assignment: 50% Final assignment: 45% Attendance: 5%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：否
Use of self-made materials

課程諮詢管道 cic@mail.ntut.edu.tw

延伸教學與資源

課程對應SDGs指標 SDG4：優質教育（Quality Education）

課程是否導入AI

備註　

教師姓名	陳靜儀　教師諮商時間(Office Hours)
Email	cic@ntut.edu.tw
最後更新時間	2024-12-17 10:14:33
課程大綱	"Data-Driven Interdisciplinary Design Research Project" is an advanced design course that combines academic research and practical experience. This course takes data-driven design as its core, emphasizing the combination of data analysis and design practice, aiming to improve students' cross-field thinking abilities and practical problem-solving abilities. Through close collaboration with graduate students, students will have the opportunity to explore how to apply data-driven strategies to design practice from different perspectives, thereby achieving innovative and practical design solutions. The course will cover multiple modules such as data analysis, user needs research, design verification and experimentation, and emphasize application in the real world. Ultimately, students will complete a design research project with academic value and practical application potential, laying a solid foundation for future professional development or further academic research. 「數據驅動跨域設計專題研究」是一門結合學術研究與實務經驗的高階設計課程。本課程以數據驅動設計為核心，強調將數據分析與設計實踐相結合，旨在提升學生的跨領域思考能力與解決問題的實踐能力。透過研究生的密切合作，學生將有機會從不同視角出發，探索如何將數據驅動策略應用於設計實務中，進而達成具創新性與實用性的設計解決方案。課程將涵蓋數據分析、使用者需求研究、設計驗證與實驗等多個模組，並強調在真實世界中的應用。最終，學生將完成一個具備學術價值與實際應用潛力的設計專題研究，為未來的專業發展或進一步學術研究打下堅實基礎。
課程進度 (1-16週)	Week 01: Course Introduction Week 02: Turning data into insights: Data analysis and dimensions of data analysis in daily life Week 03: Data Ecosystems: How Data Can Inform Better Decisions Week 04: Data Analysis Skills Week 05: Analytical thinking and using data to drive successful outcomes Week 06: The life cycle of data Week 07: Six stages of data analysis Week 08: Data Analysis Process Week 09: Midterm exam Week 10: Data analysis tools Week 11: Master spreadsheet basics Week 12: Structured Query Language Week 13: Data Visualization Week 14: Design Studio I Week 15: Design Studio II Week 16: Design Studio III Week 17: Design Studio IV Week 18: Final presentation
評量方式與標準	Class assignment: 50% Final assignment: 45% Attendance: 5%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：否 Use of self-made materials
課程諮詢管道	cic@mail.ntut.edu.tw
延伸教學與資源
課程對應SDGs指標	SDG4：優質教育（Quality Education）
課程是否導入AI
備註